{"id":"W1557545616","doi":"10.3182/20110828-6-it-1002.02996","title":"Modifier Adaptation for Run-to-Run Optimization of Transient Processes","year":2011,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Adaptation (eye); Transient (computer programming); Computer science; Steady state (chemistry); Control theory (sociology); Mathematical optimization; State (computer science); Engineering; Mathematics; Algorithm; Chemistry; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001015687,0.0001754827,0.0002341904,0.0001640319,0.00005205089,0.00002343888,0.0001339404,0.00009231564,0.00001497143],"category_scores_gemma":[0.0001487302,0.0001883574,0.00004627488,0.0003670443,0.00001942818,0.000559143,0.000008549805,0.00004832942,0.000004085795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005569064,"about_ca_system_score_gemma":0.00002533974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001360966,"about_ca_topic_score_gemma":0.000006636967,"domain_scores_codex":[0.999,0.000002207627,0.0003730129,0.0002191853,0.0001694987,0.0002360674],"domain_scores_gemma":[0.9990965,0.00001968122,0.0001038888,0.00007402505,0.0006316213,0.00007429397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006832759,0.00002829376,0.0001630204,0.0006786453,0.00003580173,9.274893e-8,0.006238061,0.9854332,0.003155984,0.0004772332,0.0001764669,0.003544891],"study_design_scores_gemma":[0.0005595865,0.0001417472,0.0001708066,0.0001131949,0.00004290271,0.000001792557,0.0007111923,0.9840996,0.01312751,0.0002716373,0.0005138533,0.0002461394],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02152966,0.0001975002,0.9740541,0.00002127052,0.0001702756,0.001051427,0.00002060383,0.0003476884,0.002607455],"genre_scores_gemma":[0.8162818,0.00002983993,0.1830862,0.00001347386,0.00005767483,0.0003466191,0.00001236416,0.0000557264,0.0001162782],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7947522,"threshold_uncertainty_score":0.7680991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02202628900374193,"score_gpt":0.2119112149291624,"score_spread":0.1898849259254205,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}